Abstract
The concept of an image of a fuzzy set under a fuzzy
relation has proved to be a very powerful tool in fuzzy
set theoretical applications. In this paper, we explain
how it can be used to model linguistic expressions. For
the representation of expressions, such as "at least middle-aged", "brighter than average", we
will use fuzzy ordering relations, while resemblance
relations will be suitable to model linguistic terms,
such as "more or less expensive" and "very
tall". We will show how these representations can be
smoothly integrated in approximate reasoning schemes
using the compositional rule of inference.
| Original language | English |
|---|---|
| Title of host publication | Proc. 6th Int. Conf on Soft Computing (IIZUKA2000) |
| Pages | 353-360 |
| Number of pages | 8 |
| Publication status | Published - Oct 2000 |
Fields of science
- 101 Mathematics
- 101004 Biomathematics
- 101027 Dynamical systems
- 101013 Mathematical logic
- 101028 Mathematical modelling
- 101014 Numerical mathematics
- 101020 Technical mathematics
- 101024 Probability theory
- 102001 Artificial intelligence
- 102003 Image processing
- 102009 Computer simulation
- 102019 Machine learning
- 102023 Supercomputing
- 202027 Mechatronics
- 206001 Biomedical engineering
- 206003 Medical physics
- 102035 Data science